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Updated: May 7, 2026

Use of Ultra-high Field MRI in Small Rodent Models of Polycystic Kidney Disease for In Vivo Phenotyping and Drug Monitoring
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Use of Ultra-high Field MRI in Small Rodent Models of Polycystic Kidney Disease for In Vivo Phenotyping and Drug Monitoring

Published on: June 23, 2015

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机器学习使用初始类固醇治疗期间蛋白尿的连续变化来预测治疗反应和免疫抑制剂在儿科异形性性综合征中的使用

Takaya Iida1,2, Kenichiro Miura1, Takayuki Okamoto3

  • 1Department of Pediatric Nephrology, Tokyo Women's Medical University, 8-1 Kawada-cho, Shinjuku-ku, Tokyo, 162-8666, Japan.

Clinical and experimental nephrology
|June 13, 2025
PubMed
概括

机器学习模型预测使用尿蛋白与肌素比率 (UPCR) 变化的儿童的类固醇耐药性性综合征 (SRNS). 序列UPCR和临床因素也预测了儿童异常性性综合征 (INS) 免疫抑制剂的使用.

关键词:
孩子 孩子 孩子 孩子机器学习是机器学习.脏病综合征 - 脏病综合征蛋白质尿症是一种蛋白质尿症.时间序列分析分析时间序列分析

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